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Innovations and Interdisciplinary Solutions for Underserved Areas. 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, 2023, Proceedings

Research Article

Covid-19 Contact Tracing Application Adoption: A Technology Readiness Model Perspective

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-51849-2_17,
        author={Adesola Tolulope Olaegbe and Muhammad Z. I. Lallmahomed},
        title={Covid-19 Contact Tracing Application Adoption: A Technology Readiness Model Perspective},
        proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, 2023, Proceedings},
        proceedings_a={INTERSOL},
        year={2024},
        month={2},
        keywords={Contact Tracing Application COVID-19 Technology Adoption Readiness},
        doi={10.1007/978-3-031-51849-2_17}
    }
    
  • Adesola Tolulope Olaegbe
    Muhammad Z. I. Lallmahomed
    Year: 2024
    Covid-19 Contact Tracing Application Adoption: A Technology Readiness Model Perspective
    INTERSOL
    Springer
    DOI: 10.1007/978-3-031-51849-2_17
Adesola Tolulope Olaegbe, Muhammad Z. I. Lallmahomed,*
    *Contact email: z.lallmahomed@mdx.ac.mu

    Abstract

    In late December 2019, there was an unforeseen outbreak of Coronavirus (COVID-19), which resulted in a global pandemic that claimed millions of lives. To allow individuals to travel freely and the economy to recover, government officials needed to be able to swiftly detect potential COVID-19 situations and track prospective encounters. There are numerous methods for doing contact tracing, one of them is to use contact tracking application. The COVID-19 contact tracing application allows for the tracking of people who encounter individuals who have COVID-19, regardless of where they are. The purpose of the research was to investigate the adoption of contact tracking applications through the theory of technology readiness in Nigeria. A cross-sectional survey was carried out using a non-probability sampling technique. Online questionnaires were sent via social media and email, with a total of 145 individuals taking part in the study. The data collected were analyzed using partial least squares (PLS) utilizing the SmartPLS-3 software to test the hypothesis generated by the research model presented in the study. The results obtained from the data collection and analysis revealed that six of the presented hypotheses were supported. Innovativeness was found to be strongly related to perceived usefulness while discomfort has a negative effect on perceived ease of use and usefulness. Implications of those findings are further discussed.

    Keywords
    Contact Tracing Application COVID-19 Technology Adoption Readiness
    Published
    2024-02-02
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-51849-2_17
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